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As a Distinguished Engineer in Solutions Engineering, you will be the technical cornerstone of Bank Tech's internal professional services organization — a team that deploys cross-domain expertise to accelerate Bank Tech's most critical initiatives. Unlike other roles embedded in a single product, you will operate across multiple domains, teams, and technology stacks simultaneously. You will build trusted relationships with senior leaders across Bank Tech, serve as the technical authority on our engagements, and provide hands-on contributions that set the standard for engineering excellence. You will move between high-priority initiatives in a SWAT-style model, rapidly orienting to new problem spaces and delivering technical direction that unblocks teams and de-risks delivery. Our team works on Bank Tech's top priorities: Integration, Modernization, Reliability, Automated Testing, and Machine Learning. You will shape technical strategy across these engagements while mentoring a team of ~30 engineers spanning full-stack development, Cloud/DevOps, SRE, and AI/ML.
Job Responsibility
Provide hands-on technical contributions across active engagements
Define and drive technical direction for engagements spanning multiple domains
Decompose complex, ambiguous problems into practical solutions
Ensure non-functional quality across engagements
Make pragmatic technology choices
Build and maintain trusted advisor relationships with VPs, Senior Directors, and engineering leaders
Communicate technical strategy, risks, and trade-offs
Navigate organizational complexity
Represent Solutions Engineering credibility
Partner with receiving teams during knowledge transfer
Develop and maintain deep knowledge of Bank Tech's systems landscape
Leverage understanding of how the bank's technical systems interconnect
Apply institutional context to accelerate onboarding and delivery
Stay current on bank-wide technical strategy
Mentor and grow engineers across multiple teams
Foster a culture of engineering excellence
Lead by example
Actively recruit and develop talent
Operate effectively in a SWAT-style model
Balance multiple concurrent engagements
Requirements
Bachelor's Degree
At least 7 years of experience in software engineering
At least 7 years of experience with cloud computing (AWS)
At least 5 years of experience working across multiple technical domains or in a consulting or professional services engineering capacity
Nice to have
Bachelor's or Master's Degree in Computer Science or a related field
10+ years of software engineering experience with broad exposure across distributed systems, cloud infrastructure, data pipelines, and application development
10+ years of professional experience in Java, Python, Go, JavaScript/TypeScript, or similar
8+ years of full lifecycle system development
Experience at Capital One or a large financial institution
Demonstrated track record of building relationships and influencing technical decisions
Experience leading technical direction in a consulting, professional services, or rotational engineering model
Experience with multiple of the following: serverless architectures, event-driven systems, observability platforms, ML/AI pipelines, automated testing frameworks, cloud migration at scale